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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "hyreg2" in publications use:'
type: software
license: MIT
title: 'hyreg2: Estimate Latent Classes on a Mixture of Continuous and Dichotomous
  Data'
version: 1.1.1
doi: 10.32614/CRAN.package.hyreg2
abstract: EQ-5D value set estimation can be done using the hybrid model likelihood
  as described by Oppe and van Hout (2010) <https://doi.org/10.1002/hec.3560> and
  Ramos-Goñi et al. (2017) <https://doi.org/10.1097/MLR.0000000000000283>. The package
  is based on 'flexmix' and among others contains an M-step-driver as described by
  Leisch (2004) <https://doi.org/10.18637/jss.v011.i08>. Users can estimate latent
  classes and address preference heterogeneity. Both uncensored and censored data
  are supported. Furthermore, heteroscedasticity can be taken into account. It is
  possible to control for different covariates on the continuous and dichotomous parts
  of the data and start values can differ between the expected latent classes.
authors:
- family-names: Elkenkamp
  given-names: Svenja
  email: svenja.elkenkamp@uni-bielefeld.de
- family-names: Rand
  given-names: Kim
- family-names: Grosser
  given-names: John
repository: https://selk19.r-universe.dev
commit: 432c5b5bf62640dfff490b0e2f91016750802355
date-released: '2026-01-13'
contact:
- family-names: Elkenkamp
  given-names: Svenja
  email: svenja.elkenkamp@uni-bielefeld.de